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Today's Topics:
1. clarification CBPT vs MMSAPT (Vincent Nguyen)
2. DL4MT: Second Call for Participation - Deep Learning for
Machine Translation Winter School (Qun Liu)
3. EAMT - Best Thesis Award 2015 (Call for Proposals) (Lucia Specia)
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Message: 1
Date: Wed, 19 Aug 2015 18:53:34 +0200
From: Vincent Nguyen <vnguyen@neuf.fr>
Subject: [Moses-support] clarification CBPT vs MMSAPT
To: moses-support <moses-support@mit.edu>
Message-ID: <55D4B48E.7080302@neuf.fr>
Content-Type: text/plain; charset=utf-8; format=flowed
Hello support,
Going into advanced features of Moses, I am a bit confused by the
differences and therefore which path to follow, regarding the 2 features
CBPT and MMSAPT.
I have the feeling the ultimate goal of both is the same but maybe I am
wrong.
Can someone explain the actual difference ?
by the way the "update" feature of this page http://demo.statmt.org/ is
based on which one ?
Thanks
Vincent.
------------------------------
Message: 2
Date: Wed, 19 Aug 2015 19:21:04 +0100
From: Qun Liu <liuquncn@gmail.com>
Subject: [Moses-support] DL4MT: Second Call for Participation - Deep
Learning for Machine Translation Winter School
To: moses-support@mit.edu
Message-ID: <55D4C910.1000906@gmail.com>
Content-Type: text/plain; charset="utf-8"
We apologize for cross-posting.
Please distribute.
--------------------------------------------------
Second Call For Participation - DL4MT
Second Call For Participation
DL4MT: Deep Learning for Machine Translation Winter School
18-24 October 2015, Dublin City University, Dublin, Ireland
http://dl4mt.computing.dcu.ie/
Apply Now! <https://docs.google.com/forms/d/145t_tc3V2VCrYXofgOBfRlEplbjRWfHUN0IIGCvafn0/viewform?c=0&w=1>
Deadline: Monday 31st August 2015
Notification: Monday 7th September 2015
Over the last several years, Deep learning (DL) has been the driving force behind huge improvements in speech and image processing. This has led to high expectations for DL in NLP and MT. In recent top conferences, a significant portion of papers in the MT domain are related to DL. Some recent publications have shown the effectiveness of DL in various aspects of statistical MT. However, because of the complexity of the implementations and lack of enough details in some of these publications, it is difficult to repeat the work reported in these papers. Furthermore, we believe that many MT researchers currently lack the necessary expertise to incorporate DL into their research, despite having a high-level understanding of the uses of DL in the MT domain. Most major NLP conferences have included a deep-learning tutorial for the last 2-3 years. However, existing tutorials typically do not go into sufficient depth for participants to actually apply DL algorithms in their MT
research. Because this field is evolving very quickly, we believe that a multi-day training event will help to prepare MT researchers to delve into DL, and give them the expertise to apply DL to their own work.
This one-week programme is sponsored by the European Association for Machine Translation (EAMT), and organised by The ADAPT Centre for Digital Content Technology..
We are pleased to announce three excellent mentors:
* Prof. Kevin Duh, NAIST, Japan (will be affiliated with JHU, US during the winter school)
* Prof. Hermann Ney, RWTH, Germany
* Prof. Kyunghyun Cho, New York University, US
who will present talks on various aspects of DL, with a focus on applications to MT.
The core themes of the DL4MT workshop will cover:
* The Fundamentals of DL4MT
* Neural Language Models and Translation Models for SMT
* Neural MT (Sequence to Sequence MT/Encoding-Decoding Models)
The structure of the DL4MT Winter School will be as follows: morning lectures will present in-depth interactive tutorials on topics in DL4MT, while afternoon sessions will be focused on implementation, and will take place in a collaborative environment, with support from expert mentors. Additional evening lectures will arranged on related topics.
We will solicit applications from MT researchers who have already used DL techniques in their work, and also from researchers who are interested in using DL, but would like to enhance their understanding of DL. This summer workshop focuses on applications of DL to MT, and attendees should leave with a deep understanding of the state-of-the-art in DL4MT, and the practical knowledge to implement the core algorithms in this area.
The application <https://docs.google.com/forms/d/145t_tc3V2VCrYXofgOBfRlEplbjRWfHUN0IIGCvafn0/viewform?c=0&w=1> is open now. The application deadline is Monday 31st August.
We will have a selection procedure in case the number of applications is beyond our capacity of reception.
The notice of acceptance will be sent by Monday 7th September.
The registration fee of DL4MT Winter School is 500 euro.
A small amount of grants will be given to outstanding applicants.
Hope to see you in Dublin!
Organization Committee:
Qun Liu
Tsuyoshi Okita
Chris Hokamp
John Judge
Joachim Wagner
Sponsors:
EAMT <http://www.eamt.org/>
ADAPT <http://www.adaptcentre.ie/>
EXPERT <http://expert-itn.eu/>
ICHEC <https://www.ichec.ie/>
Second Call For Participation - DL4MT
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Message: 3
Date: Wed, 19 Aug 2015 22:59:52 +0100
From: Lucia Specia <lspecia@gmail.com>
Subject: [Moses-support] EAMT - Best Thesis Award 2015 (Call for
Proposals)
To: corpora@uib.no, mt-list@eamt.org, moses-support@mit.edu
Message-ID:
<CAALeUxz22HByVbaGOtpbE9Aq9eB+JePgkMbL+opuggx18e40Qg@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"
2015 EAMT Best Thesis Award
The European Association for Machine Translation (EAMT, http://www.eamt.org)
is an organization that serves the growing community of people interested
in MT and translation tools, including users, developers, and researchers
of this increasingly viable technology.
The EAMT invites entries for its fifth EAMT Best Thesis Award for a PhD or
equivalent thesis on a topic related to machine translation.
Eligibility
Researchers who
-
have completed a PhD (or equivalent) thesis on a relevant topic in a
European, Northern African or Middle Eastern institution within calendar
year 2015 and
-
have not previously won another international award for that thesis,
are invited to submit their theses to the EAMT for consideration.
Panel
The submissions will be judged by a panel of experts who will be
specifically appointed as part of the EAMT 2016 programme committee and
which will be ratified by the Executive Board of the EAMT.
Selection criteria
Each thesis will be judged according to how challenging the problem was, to
how relevant the results are for machine translation as a field, and to the
strength of their impact in terms of scientific publications.
Scope
The scope of the thesis need not be confined to a technical area, and
applications are also invited from students who carried out their research
into commercial and management aspects of machine translation.
Possible areas of research include:
-
development of machine translation or advanced computer-assisted
translation : software and resources
-
machine translation for less-resourced languages
-
the use of these systems in professional environments (freelance
translators, translation agencies, localisation, etc.)
-
the increasing impact of machine translation on non-professional
Internet users and its impact in communications, social networking, etc.
-
spoken language translation
-
the integration of machine translation and translation memory systems
-
the integration of machine translation software in larger IT applications
-
the evaluation of machine translation systems in real tasks such as
those above
-
the cross-fertilisation between machine translation and other language
technologies
Prize
The winner will be announced at the same time as accepted papers for the
19th Annual Conference of the European Association for Machine Translation
EAMT 2016 (Riga, Latvia, dates still to be announced), and will receive a
prize of ?500, together with a suitably-inscribed certificate. The
recipient of the award will be required to briefly present their research
at EAMT 2015. In order to facilitate this, the EAMT will waive the winner's
registration costs, and will make available a travel bursary of ?200 to
enable the recipient of the award to attend the said conference. The prize
includes complmentary membership in the EAMT for 2016 and 2017.
Submission
Candidates will submit using EasyChair:
https://easychair.org/conferences/?conf=eamt2016, a single PDF file
containing, in this order:
-
a 2-page summary of your thesis in English, containing:
-
your full contact details,
-
the name and contact details of your supervisor(s),
-
a copy of your CV in English (at most one page, plus a complete list of
publications directly related to the thesis)
-
an electronic copy of your thesis
-
optionally, an appendix with any other relevant information on the thesis
By submitting their work, authors
-
agree that, in case they are granted the award, any subsequently
published version of the thesis should carry the citation "Winner of the
2015 European Association for Machine Translation Best Thesis Award" and
-
acknowledge the right of the EAMT to publicize the granting of the award.
Closing date
The closing date for submissions will be the same as the deadline for
research papers at EAMT 2016, which will also be announced in autumn of
2015.
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End of Moses-support Digest, Vol 106, Issue 40
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